Across the creative industries right now, the dominant mood is anxiety. AI is coming for our jobs. The agency model is dying. The studio is dead. Designers will be replaced. We're watching AI eat its way through the full stack of creative work — research, strategy, copywriting, interface design, motion, illustration, UX — and the pace of progress is accelerating, not slowing.
The most valuable response, in my view, is the least knee-jerk. Keep your creative head cool. Let curiosity and creative ambition steer your reaction to the changing landscape, rather than fear, denial or wild hyperbole. The interesting work in any technological shift comes from the people who refuse to panic and refuse to disengage.
What working with AI early taught me about brand
We've been working with AI at Airborne for several years now — long enough to have a basis for a position. Our first significant AI product design project was with ContentCal, back in 2021 pre-ChatGPT, building tooling for content marketing teams to generate and structure work with the early generative models. Working on that made the trajectory obvious. From that project I became interested in what AI was going to mean for brand specifically.
The answer I keep coming back to is that brand becomes more important, not less. AI makes high-level execution across most creative output quick and easy to achieve — at least if what you mean by execution is surface-level polish. Professional, balanced, aesthetically competent output is becoming the basic table stakes for any business. Polished is free now.
In that environment, the value of a brand — its specificity, its character, its taste, the indescribable thing that makes it recognisable as itself — increases dramatically. When everyone can produce competent output, only the brands with genuine depth and character will be distinguishable from each other. Everyone else is going to start to look the same.
The obvious move is the wrong one
Somewhat paradoxically, I also think the obvious-looking move here turns out to be the wrong one. Design systems have become such a dominant feature of product and web design over the past decade that it's tempting to assume the same logic applies to brand. Decompose the brand into reusable units. Atomic brand. Component libraries. Brand tokens. Make the system the source of truth and let the AI generate against the system at machine speed. That instinct, applied rigidly to brand, leads in exactly the wrong direction.
Design systems for product and web are built around standardisation. Their job is to ensure that a button looks the same on every screen, a form behaves the same in every flow. A button that looks different on the checkout screen than on the cart screen is not creative diversity — it's a bug.
Variation by design
Brand is kind of the opposite. The whole point of brand is variation that isn't a bug. The specific cadence of how a particular company speaks, the slightly off-kilter phrase that becomes a signature, the visual choice that breaks the grid in exactly the right place, the joke that wouldn't work in any other voice. Brand at its best is the accumulated specificity of a business — its character, its peculiarities, the things that make it recognisable in a way no competitor can replicate.
If you take the design-systems instinct and apply it to brand too rigidly, you don't get programmable brand. You get the smoothing machine — the version of every brand that's been polished into competence and stripped of personality. The company that says all the right words in all the right order and doesn't sound like anyone in particular.
Defending specificity, not enforcing sameness
Yes, consistency and systems are vital to the effective application of branding — but more than ever before, being consistently human is going to be the most valuable characteristic of any successful branding work. At scale. Much of it delivered by AI.
Which makes a successful programmable brand the opposite of a classic design system. The point isn't to enforce sameness. It's to defend specificity. The system is there to make sure the AI knows what makes this particular brand recognisable, and carries that recognisability forward into outputs that would otherwise average towards the centre.
The job hasn't changed. It's just got harder.
Brand has always been about joining the dots between human and non-human. The only difference now is that the non-human side of the equation has changed. The job hasn't changed. The job has just got harder, more interesting, and more important.
The teams that figure this out — that build genuine programmable brand systems with character at their core, rather than smoothing machines with consistency at theirs — will own the next decade of brand work. Which is the real failure mode of AI in creative work. Not that it replaces us. That it makes everyone look the same.
